Tech Lead Manager- TikTok E-commerce Global Supply Chain and Logistics

$199,500 - $340,000/Yr

Tiktok - Seattle, WA

Full-time - Manager

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Tech Lead Manager for the Data-E-commerce-Global Supply Chain and Logistics team at TikTok is responsible for optimizing the logistics and warehousing network through data analysis and machine learning. This role involves leading a small team, enhancing operational efficiency, and improving user experience in global e-commerce services.

Responsibilities

• Develop and maintain a global logistics and warehousing network by leveraging data analysis, machine learning, and operational research methodologies.
• Generate a comprehensive data portrait of the supply chain in various dimensions, such as vendors, commodities, origin points, inventory, production capabilities, and order fulfillment quality.
• Establish data-driven methodologies for control and adjustment to improve operational outcomes and user experience.
• Identify and highlight global e-commerce trends to optimize the supply of e-commerce commodities, forecast demand, suggest vendor stocking, and enhance production capacity.
• Lead and manage a small team, providing guidance and ensuring project timelines are met.
• Contribute to the construction and enhancement of the smart supply chain through business-focused data mining and continuous algorithm iteration.
• Build optimization models and design algorithms for decision support.
• Engage with clients to understand their business challenges and present results, partnering with Operations and R&D teams.

Requirements

• Hold a Master's degree or higher in Computer Science, Automation, Statistics, Mathematics, Logistics, or Operations Research.
• Experience in solving LP/IP problems using tools such as Gurobi, CPLEX, SCIP, ORTools, and proficient in programming languages such as Python, Go, Java, or C++.
• Demonstrable skills and experience in machine learning, data analytics, and feature engineering.
• Self-driven with a solid understanding of the underlying logic of the business and the ability to adapt to rapid business changes.
• Excellent communication skills and effective team leadership.

Nice-to-haves

• Experience in applying logistics-related algorithms in the e-commerce sector.
• Optimization experience in large-scale operations research problems.
• Familiarity with various heuristic algorithms.
• Previous experience leading and managing a technical team in a fast-paced environment.

Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).